Detecting Pneumonia Lung Infection From X-Ray Images with Deep Learning

Pneumonia is one of the most prominent basis of premature death globally, according to some of the major health institutions like WHO more than 1 billion people around the world get infected and more than 4 million people die prematurely due to pneumonia lung infection. Detection of pneumonia infect...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-08, Vol.1950 (1), p.12052
Main Authors: Raheja, K, Goel, A, Mahajan, M
Format: Article
Language:English
Subjects:
Artificial neural networks
Computer Vision
Convolutional Neural Network
Data Preprocessing
Deep Learning
Infections
Lungs
Pneumonia
Unstructured data
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Summary:Pneumonia is one of the most prominent basis of premature death globally, according to some of the major health institutions like WHO more than 1 billion people around the world get infected and more than 4 million people die prematurely due to pneumonia lung infection. Detection of pneumonia infection requires a lot of medical tests, which can be expensive and time consuming. Deep Learning, the technology which gives computer systems the ability to learn and adapt through unstructured data in order to complex solve real world problems has the potential to make the detection of pneumonia easier, cost effective and less time consuming. The motivation behind this paper is to grasp the criticalness and utilizations of deep computational learning and Convolutional Neural Network (CNN) by executing it so as to recognize Pneumonia by examining a patient’s chest x-beam pictures.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1950/1/012052